HN
Hamidreza Namazi
Monash University, Nanyang Technological University
Research areas: Engineering · Electrical and Electronic Engineering · Integrated Energy Systems Optimization · Heart Rate Variability and Autonomic Control · Energy Load and Power Forecasting
0000-0002-6354-1985
Employment
Education
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Nanyang Technological University PhD-Mechanical Engineering2008 - 2013
Projects & Funding
Projects & funding information is unavailable.
Publications (74)
- Machine learning-guided electrolyte–interface co-design for Li-based anode-free batteries: Toward a predictive framework for stable metal deposition Save
- Fractal-Informed Risk Modeling in Energy Systems: From Extreme Events to Resilience-Oriented Control Save
- Physics-informed large models for renewable energy forecasting and control: A unified framework for next-generation energy systems Save
- Risk-aware AI control framework for resilient distribution grids under extreme events Save
- FRACTAL-BASED DIGITAL TWINS FOR ENERGY SYSTEMS: A MULTI-SCALE MODELING PARADIGM FOR REAL-TIME OPTIMIZATION Save
- TOWARD A UNIFIED FRACTAL-AI FRAMEWORK FOR SUSTAINABLE ENERGY SYSTEMS: A REVIEW AND FUTURE RESEARCH AGENDA Save
- FRACTAL-BASED MODELING OF ENERGY SYSTEM CASCADING FAILURES: A REVIEW AND CONCEPTUAL FRAMEWORK FROM LOCAL DISTURBANCES TO SYSTEMIC COLLAPSE Save
- COMPLEXITY-BASED ANALYSIS OF SKIN CONDUCTANCE–FACIAL EMG COUPLING UNDER DIFFERENT COGNITIVE LOADS Save
- Physics‐Informed Artificial Intelligence for Battery Degradation, Aging, and Lifetime Prediction Save
- Implementing XAI in life sciences: Key challenges and pathways to solutions Save
- Quantum Information Processing in Human Cognition: Bridging Quantum Phenomena, Neural Dynamics, and Decision‐Making Save
- ANALYSIS OF THE EFFECT OF BRIGHTNESS ON THE COMPLEXITY OF BRAIN SIGNALS IN RESPONSE TO VISUAL STIMULI Save
- SCALING-BASED EARLY WARNING SIGNALS FOR ENERGY SYSTEM FAILURES: A FRACTAL PERSPECTIVE Save
- FRACTAL ANALYSIS OF WIND TURBINE SIGNALS: A COMPREHENSIVE REVIEW Save
- PHYSICS-INFORMED FRACTAL–AI FRAMEWORK FOR RESILIENCE PREDICTION IN RENEWABLE ENERGY SYSTEMS Save
- LEARNING OF AUDITORY TIME-INTERVALS AFFECTS SELF-SIMILARITIES IN EEG SIGNALS Save
- Digital Twin–enabled predictive maintenance in wind, solar PV, hydropower, and battery energy storage systems: a review and maturity framework Save
- Review of the applications of different fractional models in engineering Save
- Process optimization of laser metal deposition for fabrication of AlCoCrFeNi2.1 high-entropy alloy Save
- Application of fractal theory in cancer detection: A review Save